Location: Hartford, CT
Work Mode: Onsite
Contract Duration: 12 Months
Experience Required: 8–10 Years
Job Description
We are seeking an experienced Senior Java Full Stack & AI/ML Engineer with strong expertise in Java, Spring Boot, JavaScript, ReactJS, Cloud Infrastructure, and Artificial Intelligence.
The ideal candidate will have hands-on experience developing enterprise applications and building AI-powered solutions, including Generative AI, LLM-based applications, and Agentic AI agents.
The candidate will be responsible for leveraging AI technologies to solve business problems, improve Software Development Life Cycle (SDLC) processes, and integrate AI capabilities with enterprise applications and data.
Primary Skills
Java
Spring Boot
JavaScript
ReactJS
Azure Cloud
Cloud Infrastructure
Artificial Intelligence (AI)
Machine Learning (ML)
Generative AI
Large Language Models (LLMs)
Agentic AI
Secondary Skills
AI Agent Development
AI Builder
LLM Integration
AI/ML Solution Deployment
Enterprise Application Integration
AI Pods
SDLC Automation
Healthcare Domain
Financial Services Domain
Roles & Responsibilities
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Design, develop, and maintain enterprise applications using Java and Spring Boot.
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Develop frontend applications using JavaScript, ReactJS, or other modern frameworks.
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Build and deploy applications using Azure or other public cloud platforms.
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Develop and implement Agentic AI agents to solve business problems.
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Leverage AI agents to automate and improve SDLC activities.
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Build and deploy AI/ML solutions, including Generative AI and LLM-based applications.
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Develop intelligent AI agents and integrate them with enterprise applications and data.
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Collaborate with cross-functional teams working in AI Pods.
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Identify opportunities to leverage AI/ML technologies for business process improvement.
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Ensure application performance, scalability, security, and reliability.
Required Qualifications
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8–10 years of overall IT experience.
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7+ years of experience with Java and Spring Boot.
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Strong experience with JavaScript and ReactJS or other frontend frameworks.
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Experience with Azure or other public cloud infrastructure.
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Hands-on experience building and deploying AI/ML solutions.
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Experience with Generative AI and LLM-based applications.
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Strong understanding of Agentic AI and AI agent development.
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Experience integrating AI solutions with enterprise applications and data.
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Ability to use AI agents to address business challenges and improve SDLC processes.
Preferred Qualifications
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Experience working in AI Pods.
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Exposure to healthcare, financial services, or other highly regulated enterprise environments.
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Experience with enterprise AI integration and automation.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.
